Research on Modeling Method of Runway Frictional Coefficient Measuring Vehicle Based on Impedance Diagrams

Xu Dong Shi; Shou Wen Shi; Lu Zhang; Jian Li Li

doi:10.4028/www.scientific.net/AMR.214.133

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 214Research on Modeling Method of Runway Frictional...

Research on Modeling Method of Runway Frictional Coefficient Measuring Vehicle Based on Impedance Diagrams

Abstract:

Airport runway friction coefficient is an important parameter to evaluate the quality of runway which is usually measured by runway friction coefficient measuring vehicle. In order to reduce the airport runway friction coefficient measuring error which comes from runway vibration caused by road roughness and vehicle its own structural characteristics, an impedance diagram is used to model the suspending system and measuring system of the measuring vehicle. The power spectral density of pavement and inverse discrete Fourier transformation are introduced to model runway surface roughness as excitation input. The rationality of the stimulating established model is validated by comparing with an airport runway surface roughness measurement data. Runway friction coefficient measuring vehicle′s measuring error can be reduced and the measurement accuracy can be improved by using the impedance diagram modeling method.

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Periodical:

Advanced Materials Research (Volume 214)

Pages:

133-137

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.214.133

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Online since:

February 2011

Authors:

Xu Dong Shi, Shou Wen Shi, Lu Zhang, Jian Li Li

Keywords:

Impedance Diagram Modeling, Power Spectral Density (PSD), Runway Frictional Coefficient Measuring Vehicle, Surface Roughness (SR)

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References

[1] L. Wang, Z. Yu, L. Zhang, J. Gao and J. Song: Study on the key technology of airport runway frictional coefficient measurement, Key Engineering Materials, Vol. 381-382(2008), pp.229-232.

DOI: 10.4028/www.scientific.net/kem.381-382.229

Google Scholar

[2] X. D. Shi, P. F. Yang, L. W. Wang and Y. H. Shi: Model of Airport Runway Frictional Coefficient Measure Vehicle Based on Impedance Diagrams, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM (2008), pp.637-641.

DOI: 10.1109/aim.2008.4601734

Google Scholar

[3] S. Lu : Simulation of pavement roughness and IRI based on power spectral density, Mathematics and Computers in Simulation, Vol. 61(2002), n. 2, pp.77-88.

DOI: 10.1016/s0378-4754(01)00386-x

Google Scholar

[4] X. Liu, Z. Deng and F. Gao: Research on the method of simulating road roughness numerically, Journal of Beijing University of Aeronautics and Astronautics, Vol. 29 (2003), n. 9, pp.843-846.

Google Scholar